Literature DB >> 26108810

Advanced process monitoring and feedback control to enhance cell culture process production and robustness.

An Zhang1, Valerie Liu Tsang2, Brandon Moore2, Vivian Shen2, Yao-Ming Huang2, Rashmi Kshirsagar3, Thomas Ryll3.   

Abstract

It is a common practice in biotherapeutic manufacturing to define a fixed-volume feed strategy for nutrient feeds, based on historical cell demand. However, once the feed volumes are defined, they are inflexible to batch-to-batch variations in cell growth and physiology and can lead to inconsistent productivity and product quality. In an effort to control critical quality attributes and to apply process analytical technology (PAT), a fully automated cell culture feedback control system has been explored in three different applications. The first study illustrates that frequent monitoring and automatically controlling the complex feed based on a surrogate (glutamate) level improved protein production. More importantly, the resulting feed strategy was translated into a manufacturing-friendly manual feed strategy without impact on product quality. The second study demonstrates the improved process robustness of an automated feed strategy based on online bio-capacitance measurements for cell growth. In the third study, glucose and lactate concentrations were measured online and were used to automatically control the glucose feed, which in turn changed lactate metabolism. These studies suggest that the auto-feedback control system has the potential to significantly increase productivity and improve robustness in manufacturing, with the goal of ensuring process performance and product quality consistency.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  Chinese hamster ovary (CHO) cell culture; auto-feedback control; capacitance; fed-batch; glucose/lactate control; human embryonic kidney (HEK) cell culture

Mesh:

Substances:

Year:  2015        PMID: 26108810     DOI: 10.1002/bit.25684

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  5 in total

1.  Use of near-infrared spectroscopy (NIRs) in the biopharmaceutical industry for real-time determination of critical process parameters and integration of advanced feedback control strategies using MIDUS control.

Authors:  Lucas Vann; John Sheppard
Journal:  J Ind Microbiol Biotechnol       Date:  2017-10-25       Impact factor: 3.346

2.  Early integration of Design of Experiment (DOE) and multivariate statistics identifies feeding regimens suitable for CHO cell line development and screening.

Authors:  Alessandro Mora; Bernard Nabiswa; Yuanyuan Duan; Sheng Zhang; Gerald Carson; Seongkyu Yoon
Journal:  Cytotechnology       Date:  2019-11-09       Impact factor: 2.058

Review 3.  Realization of user-friendly bioanalytical tools to quantify and monitor critical components in bio-industrial processes through conceptual design.

Authors:  Carl-Fredrik Mandenius
Journal:  Eng Life Sci       Date:  2021-11-29       Impact factor: 2.678

4.  N-1 Perfusion Platform Development Using a Capacitance Probe for Biomanufacturing.

Authors:  Emily S C Rittershaus; Matthew S Rehmann; Jianlin Xu; Qin He; Charles Hill; Jeffrey Swanberg; Michael C Borys; Zheng-Jian Li; Anurag Khetan
Journal:  Bioengineering (Basel)       Date:  2022-03-22

Review 5.  Cultivating Multidisciplinarity: Manufacturing and Sensing Challenges in Cultured Meat Production.

Authors:  Mila Djisalov; Teodora Knežić; Ivana Podunavac; Kristina Živojević; Vasa Radonic; Nikola Ž Knežević; Ivan Bobrinetskiy; Ivana Gadjanski
Journal:  Biology (Basel)       Date:  2021-03-09
  5 in total

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